Advances in communications, smart transportation systems, and computer systems have recently opened up vast possibilities of intelligent solutions for traffic safety, convenience, and effectiveness. Artificial Intelligence (AI) is currently being used in various application domains because of its strong potential to help enhance conventional data-driven methods. In the area of Vehicular Ad hoc NETworks (VANETs) data is frequently collected from various sources. This data is used for various purposes which include routing, broadening the awareness of the driver, predicting mobility to avoid hazardous situations, thereby improving passenger comfort, safety, and quality of road experience. We present a comprehensive review of AI techniques that are currently being explored by various research efforts in the area of VANETs. We discuss the strengths and weaknesses of these proposed AI-based proposed approaches for the VANET environment. Finally, we identify future VANET research opportunities that can leverage the full potential of AI.

通信、智能交通系统和计算机系统的进步最近为交通安全、便利和有效性的智能解决方案开辟了广阔的可能性。人工智能 (AI) 目前正被用于各种应用领域，因为它具有帮助增强传统数据驱动方法的强大潜力。在车载自组织网络 (VANET) 领域，经常从各种来源收集数据。这些数据用于各种目的，包括路线选择、扩大驾驶员的意识、预测移动性以避免危险情况，从而提高乘客的舒适度、安全性和道路体验质量。我们对 VANET 领域的各种研究工作目前正在探索的 AI 技术进行全面回顾。我们讨论了这些针对 VANET 环境提出的基于 AI 的建议方法的优缺点。最后，我们确定了可以利用 AI 全部潜力的未来 VANET 研究机会。